Tianzi Zang

40 papers A* 4A 4B 6Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
DRSoRec: Dual-Rectification of Social Networks for Recommendation.
AAAI
Liangxun Yang, Tianzi Zang, Jiayi Sun, Juan Li, Yicong Li
2026 J jnl
Mutual Knowledge Distillation and Contrastive Learning between Multi-View Graphs for Cross-Domain Recommendation.
ACM Trans. Inf. Syst.
Tianzi Zang, Yidan Fan, Yixin Chen, Juan Li, Tong Zhang, Yanmin Zhu
2025 A* conf
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis.
AAAI
Chuanqi Tao, Jiaming Li, Tianzi Zang, Peng Gao
2025 A* conf
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing.
AAAI
Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang
2025 — conf
FTDG: Fuzzing-Based Test Data Generation for Deep Neural Networks.
DASFAA (3)
Ziqi Chen, Chuanqi Tao, Tianzi Zang, Hongjing Guo
2025 J jnl
Reinforcement Learning-Based Dual-Identity Double Auction in Personalized Federated Learning.
IEEE Trans. Mob. Comput.
Juan Li, Zishang Chen, Tianzi Zang, Tong Liu, Jie Wu, Yanmin Zhu
2024 B conf
All Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning.
ICPADS
Juan Li, Yanmin Zhu, Jie Wu, Weifan Wu, Tianzi Zang, Liu Lu
2024 J jnl
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation.
ACM Trans. Inf. Syst.
Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu
2024 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2024 A conf
Efficient and Secure Contribution Estimation in Vertical Federated Learning.
CIKM
Juan Li, Rui Deng, Tianzi Zang, Mingqi Kong, Kun Zhu
2024 J jnl
Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation.
World Wide Web (WWW)
Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Jing Zhu, Feilong Tang
2024 B conf
Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving.
IJCNN
Junyao Liang, Juan Li, Ji Zhang, Tianzi Zang
2024 B conf
Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning.
WCNC
Zishang Chen, Juan Li, Kun Zhu, Changyan Yi, Tianzi Zang
2024 J jnl
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.
ACM Trans. Inf. Syst.
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
2024 A* conf
Review-Enhanced Hierarchical Contrastive Learning for Recommendation.
AAAI
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
2023 J jnl
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions.
ACM Trans. Inf. Syst.
Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu
2023 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
CoRR
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2023 — conf
Disentangled Contrastive Learning for Cross-Domain Recommendation.
DASFAA (2)
Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu
2023 B conf
Dual Contrastive Learning for Multi-Behavior Recommendation.
ICPADS
Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen
2023 J jnl
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients.
Artif. Intell. Medicine
Tianzi Zang, Yanmin Zhu, Xinrui Huang, Xinchen Yang, Qiuxia Chen, Jiadi Yu, Feilong Tang
2023 J jnl
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.
ACM Trans. Knowl. Discov. Data
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang
2023 J jnl
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu
2023 B conf
Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction.
ICPADS
Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang
2023 J jnl
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.
ACM Trans. Knowl. Discov. Data
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu
2023 B conf
Rating-Review Graph Contrastive Learning for Review-based Recommendation.
ICPADS
Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang
2022 J jnl
Deep Meta-learning in Recommendation Systems: A Survey.
CoRR
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang
2022 — conf
Graph Contrastive Learning with Adaptive Augmentation for Recommendation.
ECML/PKDD (1)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang
2022 — conf
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.
DASFAA (2)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu
2022 J jnl
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks.
ACM Trans. Knowl. Discov. Data
Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang
2022 J jnl
MPAN: Multi-parallel attention network for session-based recommendation.
Neurocomputing
Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu
2021 J jnl
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions.
CoRR
Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu
2021 A conf
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.
CIKM
Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu
2021 J jnl
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks.
CoRR
Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang
2021 J jnl
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction.
ACM Trans. Knowl. Discov. Data
Tianzi Zang, Yanmin Zhu, Yanan Xu, Jiadi Yu
2021 — conf
Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions.
DASFAA (1)
Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li
2021 A conf
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.
WSDM
Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu
2021 J jnl
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction.
IEEE Trans. Knowl. Data Eng.
Xian Zhou, Yanyan Shen, Linpeng Huang, Tianzi Zang, Yanmin Zhu
2020 A conf
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks.
CIKM
Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai
2020 — conf
Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation.
WISE (2)
Qiaomei Zhang, Yanmin Zhu, Tianzi Zang, Jiadi Yu
2020 — conf
Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting.
WISE (1)
Yuan Qu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu